Dávid Péter Kovács
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
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- Computational Drug Discovery Methods
Papers in
-
- Machine Learning in Materials Science 7
- X-ray Diffraction in Crystallography 2
- Thermal and Kinetic Analysis 1
- Corrosion Behavior and Inhibition 1
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- Computational Drug Discovery Methods 6
- Co-authors
- Gábor Cśanyi (6 shared papers)Christoph Ortner (4 shared papers)Ilyes Batatia (3 shared papers)Maxwell J. Robb (1 shared paper)Isabel Klein (1 shared paper)Cas van der Oord (2 shared papers)Alpha A. Lee (1 shared paper)Daniel J. Cole (2 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)Nature Communications (1 paper)Faraday Discussions (1 paper)The Journal of Chemical Physics (1 paper)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Dávid Péter Kovács
10 papers receiving 799 citations
Dávid Péter Kovács's Hit Papers
Peers
Comparison fields: 5 of 81
- Materials Chemistry 564
- Computational Theory and Mathematics 173
- Atomic and Molecular Physics, and Optics 200
- Physical and Theoretical Chemistry 52
- Structural Biology 8
Countries citing papers authored by Dávid Péter Kovács
This map shows the geographic impact of Dávid Péter Kovács's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dávid Péter Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Péter Kovács more than expected).
Fields of papers citing papers by Dávid Péter Kovács
This network shows the impact of papers produced by Dávid Péter Kovács. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dávid Péter Kovács. The network helps show where Dávid Péter Kovács may publish in the future.
Co-authors
The 25 scholars most cited alongside Dávid Péter Kovács, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 185 | |
| 2 | Evaluation of the MACE force field architecture: From medicinal chemistry to materials science Hit paper breakdown → | 2023 | 120 |
| 3 | 2021 | 98 | |
| 4 | The design space of E(3)-equivariant atom-centred interatomic potentials Hit paper breakdown → | 2025 | 90 |
| 5 | MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Molecules Hit paper breakdown → | 2025 | 80 |
| 6 | 2023 | 74 | |
| 7 | 2021 | 73 | |
| 8 | 2023 | 48 | |
| 9 | 2023 | 27 | |
| 10 | 2022 | 11 |
About Dávid Péter Kovács
Dávid Péter Kovács is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Molecular Biology, Atomic and Molecular Physics, and Optics and Information Systems, having authored 10 papers that have together received 806 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (3 papers), X-ray Diffraction in Crystallography (2 papers), Advanced Chemical Physics Studies (1 paper), Thermal and Kinetic Analysis (1 paper), Corrosion Behavior and Inhibition (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Materials Chemistry (564 citations), Computational Theory and Mathematics (173 citations), Atomic and Molecular Physics, and Optics (200 citations), Physical and Theoretical Chemistry (52 citations) and Structural Biology (8 citations). Dávid Péter Kovács has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Gábor Cśanyi, Christoph Ortner, Ilyes Batatia, Maxwell J. Robb, Isabel Klein, Cas van der Oord, Alpha A. Lee, Daniel J. Cole, Venkat Kapil and Alice E. A. Allen. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Faraday Discussions, The Journal of Chemical Physics and Journal of Chemical Theory and Computation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.